The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The neural basis of cognitive development: A constructivist manifesto
Abstract
How do minds emerge from developing brains? According to “neural constructivism,” the representational features of cortex are built from the dynamic interaction between neural growth mechanisms and environmentally derived neural activity. Contrary to popular selectionist models that emphasize regressive mechanisms, the neurobiological evidence suggests that this growth is a progressive increase in the representational properties of cortex. The interaction between the environment and neural growth results in a flexible type of learning: “constructive learning” minimizes the need for prespecification in accordance with recent neurobiological evidence that the developing cerebral cortex is largely free of domain-specific structure. Instead, the representational properties of cortex are built by the nature of the problem domain confronting it. This uniquely powerful and general learning strategy undermines the central assumption of classical learnability theory, that the learning properties of a system can be deduced from a fixed computational architecture. Neural constructivism suggests that the evolutionary emergence of neocortex in mammals is a progression toward more flexible representational structures, in contrast to the popular view of cortical evolution as an increase in innate, specialized circuits. Human cortical postnatal development is also more extensive and protracted than generally supposed, suggesting that cortex has evolved so as to maximize the capacity of environmental structure to shape its structure and function through constructive learning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Ecological Approach to Visual Perception
Bornstein, M. H., & Gibson, J. J. (1980) · The Journal of Aesthetics and Art Criticism · doi:10.2307/429816 · Cited by 22,935
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
ASPECTS OF THE THEORY OF SYNTAX
Chomsky, N. (1964) · doi:10.21236/ad0616323 · Cited by 13,587
The Biological Foundations of Language
Lenneberg, E. H. (1967) · Hospital Practice · doi:10.1080/21548331.1967.11707799 · Cited by 6,605
Mindblindness: An Essay on Autism and Theory of Mind
(1995) · Choice Reviews Online · doi:10.5860/choice.33-2412 · Cited by 3,670
Neural Networks and the Bias/Variance Dilemma
Geman, S., Bienenstock, E., & Doursat, R. (1992) · Neural Computation · doi:10.1162/neco.1992.4.1.1 · Cited by 3,578 · cited 3×
“As Geman et al. (1992) state it, this seems to result in a dilemma: highly biased learners will work only if they have been carefully chosen for the particular problem at hand whereas flexible learners seem to place to high a demand on training time and resources.”
Specification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127
Synaptic Activity and the Construction of Cortical Circuits
Katz, L. C., & Shatz, C. J. (1996) · Science · doi:10.1126/science.274.5290.1133 · Cited by 3,048
Werker, J. F., & Tees, R. C. (1984) · Infant Behavior and Development · doi:10.1016/s0163-6383(84)80022-3 · Cited by 2,801
Synaptic density in human frontal cortex —Developmental changes and effects of aging
Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645
The Embodied Mind: Cognitive Science and Human Experience
Varela, F. J., Thompson, E., & Rosch, E. (2017) · doi:10.7551/mitpress/9780262529365.001.0001 · Cited by 2,449
Learning and development in neural networks: the importance of starting small
Elman, J. L. (1993) · Cognition · doi:10.1016/0010-0277(93)90058-4 · Cited by 1,988
Baldwin, J. M. (1896) · The American Naturalist · doi:10.1086/276408 · Cited by 1,781
Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757
Maturational constraints on language learning
Newport, E. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1401_2 · Cited by 1,738
Tononi, G., Sporns, O., & Edelman, G. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.11.5033 · Cited by 1,626
Experience and brain development
Greenough, W. T., Black, J. E., & Wallace, C. S. (1987) · Child Development · doi:10.2307/1130197 · Cited by 1,398
Activation of the primary visual cortex by Braille reading in blind subjects
Sadato, N., Pascual-Leone, A., Grafman, J., Ibañez, V., Deiber, M.-P., Dold, G., & Hallett, M. (1996) · Nature · doi:10.1038/380526a0 · Cited by 1,253
Black, J. E., Isaacs, K. R., Anderson, B. J., Alcantara, A. A., & Greenough, W. T. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.14.5568 · Cited by 1,161
Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex
Rakic, P., Bourgeois, J.-P., Eckenhoff, M. F., Zecevic, N., & Goldman-Rakic, P. S. (1986) · Science · doi:10.1126/science.3952506 · Cited by 1,133 · cited 3×
“…Coggeshall 1992) and in the amount of labor demanded by the techniques involved, such as serial reconstruction in electron microscopy (Huttenlocher et al. 1982; O'Kusky and Collonnier 1982a; 1982b; Rakic et al. 1986; Huttenlocher & de Courten 1987; Bourgeois et al. 1989; Zecevic & Rakic 1991).”
The development of ocular dominance columns in normal and visually deprived monkeys
Le Vay, S., Wiesel, T. N., & Hubel, D. H. (1980) · Journal of Comparative Neurology · doi:10.1002/cne.901910102 · Cited by 1,123
Impulse activity and the patterning of connections during cns development
Shatz, C. J. (1990) · Neuron · doi:10.1016/0896-6273(90)90333-b · Cited by 766
Synaptogenesis in human visual cortex—evidence for synapse elimination during normal development
Huttenlocher, P. R., de Courten, C., Garey, L. J., & Van der Loos, H. (1982) · Neuroscience Letters · doi:10.1016/0304-3940(82)90379-2 · Cited by 745
Ocular dominance in layer IV of the cat's visual cortex and the effects of monocular deprivation.
Shatz, C. J., & Stryker, M. P. (1978) · The Journal of Physiology · doi:10.1113/jphysiol.1978.sp012421 · Cited by 691
Development and plasticity of cortical processing architectures
Singer, W. (1995) · Science · doi:10.1126/science.270.5237.758 · Cited by 669 · cited 1×
“572 BEHAVIORAL AND BRAIN SCIENCES (1997) 20:4 of children’s performance on the balance-scale task, the seriation task, the integration of time, distance, and velocity information, a pronoun reference acquisition task, and a causal judgment task concerning the potency and resistance of an effect have all been developed…”
Cross-language speech perception: Initial capabilities and developmental change.
Werker, J. F., & Lalonde, C. E. (1988) · Developmental Psychology · doi:10.1037/0012-1649.24.5.672 · Cited by 607
The effects of an enriched environment on the histology of the rat cerebral cortex
Diamond, M. C., Krech, D., & Rosenzweig, M. R. (1964) · Journal of Comparative Neurology · doi:10.1002/cne.901230110 · Cited by 584
Effects of brain-derived neurotrophic factor on optic axon branching and remodelling in vivo
Cohen-Cory, S., & Fraser, S. E. (1995) · Nature · doi:10.1038/378192a0 · Cited by 580
Synaptic development of the cerebral cortex: implications for learning, memory and mental illness
(1994) · Progress in Brain Research · doi:10.1016/s0079-6123(08)60543-9 · Cited by 565
Do cortical areas emerge from a protocortex?
O'Leary, D. D. M. (1989) · Trends in Neurosciences · doi:10.1016/0166-2236(89)90080-5 · Cited by 536
Rearing complexity affects branching of dendrites in the visual cortex of the rat
Volkmar, F. R., & Greenough, W. T. (1972) · Science · doi:10.1126/science.176.4042.1445 · Cited by 513
Apical dendritic spines of the visual cortex and light deprivation in the mouse
Valverde, P. (1967) · Experimental Brain Research · doi:10.1007/bf00237559 · Cited by 483
Turner, A. M., & Greenough, W. T. (1985) · Brain Research · doi:10.1016/0006-8993(85)90525-6 · Cited by 459
Effects of differential experience on dendritic spine counts in rat cerebral cortex
Globus, A., Rosenzweig, M. R., Bennett, E. L., & Diamond, M. C. (1973) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0033910 · Cited by 436
Iverson, P., & Kuhl, P. K. (1995) · The Journal of the Acoustical Society of America · doi:10.1121/1.412280 · Cited by 352
Language Acquisition and Use: Learning and Applying Probabilistic Constraints
Seidenberg, M. S. (1997) · Science · doi:10.1126/science.275.5306.1599 · Cited by 338
Turkewitz, G., & Kenny, P. A. (1982) · Developmental Psychobiology · doi:10.1002/dev.420150408 · Cited by 304
Changes in synaptic density in motor cortex of rhesus monkey during fetal and postnatal life
Zecevic, N., Bourgeois, J.-P., & Rakic, P. (1989) · Developmental Brain Research · doi:10.1016/0165-3806(89)90124-7 · Cited by 253
Rate and extent of recovery from dark rearing in the visual cortex of the mouse
Valverde, F. (1971) · Brain Research · doi:10.1016/0006-8993(71)90302-7 · Cited by 235
Antonini, A., & Stryker, M. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03549.1993 · Cited by 220
A complexity measure for selective matching of signals by the brain.
Tononi, G., Sporns, O., & Edelman, G. M. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.8.3422 · Cited by 191
Beyond modularity: Neural evidence for constructivist principles in development
Quartz, S. R., & Sejnowski, T. J. (1994) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00036839 · Cited by 39
Self-citation
Cited by
“Economic man” in cross-cultural perspective: behavioral experiments in 15 small-scale societies
Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H., McElreath, R., Alvard, M., Barr, A., Ensminger, J., et al. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05000142 · Cited by 1,898
Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study
Courchesne, E., Karns, C. M., Davis, H. R., Ziccardi, R., Carper, R. A., Tigue, Z. D., Chisum, H. J., Moses, P., Pierce, K., Lord, C., et al. (2001) · Neurology · doi:10.1212/wnl.57.2.245 · Cited by 1,487
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411
Development itself is the key to understanding developmental disorders
Karmiloff-Smith, A. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01230-3 · Cited by 1,299
Neural reuse: A fundamental organizational principle of the brain
Anderson, M. L. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000853 · Cited by 1,212
Metadata
- Authors
- Quartz, S. R., & Sejnowski, T. J.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 1997-12
- Volume
- 20
- Issue
- 4
- Pages
- 537-556
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2124290596
- Cited by
- 864
- References
- 44
- FWCI
- 21.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.